Назад
Company hidden
10 дней назад

Insights Lead Analyst, Amazon Focus (Retail Media)

100 000 - 120 000$
Формат работы
remote (только USA)
Тип работы
fulltime
Грейд
lead
Английский
b2
Страна
US
Вакансия из списка Hirify.GlobalВакансия из Hirify Global, списка международных tech-компаний
Для мэтча и отклика нужен Plus

Мэтч & Сопровод

Для мэтча с этой вакансией нужен Plus

Описание вакансии

Текст:
/
TL;DR
Insights Lead Analyst, Amazon Focus (Retail Media): Building advanced analyses, custom reporting, testing approaches, and actionable insights from Amazon Marketing Cloud, Amazon Advertising, and retail data with an accent on campaign measurement, commerce performance, and client-ready data storytelling. Focus on designing AMC queries, analyzing new-to-brand and path-to-purchase behavior, developing platform-specific tests and forecasts, and creating practical analytical solutions in SQL, Python, or R.

Location: USA - Remote; 100% remote work is supported for this role.

Hiring salary range: $100,000–$120,000 per year, plus a monthly variable revenue payment opportunity and a discretionary annual performance bonus.

Company

hirify.global is an independent full-funnel marketing agency in the United States specializing in media, measurement, Commerce, Search, Social, TV, and Audio, with proprietary growth and waste-analysis technology.

What you will do

  • Partner with Client Leads, Commerce Media, Commerce Operations, and delivery teams to understand objectives, performance questions, and analytical priorities.
  • Develop client-ready data narratives, technical explanations, reporting, dashboards, visualizations, and recommendations.
  • Build Amazon Marketing Cloud queries and analyses covering audiences, campaign performance, new-to-brand outcomes, path-to-purchase behavior, and custom client questions.
  • Query, validate, join, and interpret Amazon advertising and retail data across Sponsored Products, Sponsored Brands, Sponsored Display, Amazon DSP, Vendor Central, and related Commerce sources.
  • Design and analyze tests, forecasts, scenarios, segmentation, and campaign evaluations that inform media, audience, product, and retail decisions.
  • Improve reporting, documentation, automation, quality assurance, and analytical workflows while using approved AI and automation tools responsibly and validating outputs.

Requirements

  • 5–7 years of experience in Commerce analytics, retail media, e-commerce analytics, marketing analytics, business intelligence, or a related field.
  • Strong hands-on experience with Amazon Marketing Cloud, including SQL querying, audience analysis, campaign analysis, and custom analytical approaches.
  • Strong experience with Amazon Advertising and Amazon retail data, including Sponsored Ads, Amazon DSP, Vendor Central, and related Commerce performance metrics.
  • Strong SQL proficiency and experience with BI or visualization tools such as Tableau, Power BI, Looker Studio, or similar.
  • Strong understanding of Commerce measurement, including new-to-brand, share of voice, market share, product-level performance, total sales, forecasting, testing, and incrementality concepts.
  • Strong data storytelling, documentation, quality-control, organization, and cross-functional collaboration skills.
  • Experience supporting Client Leads and Commerce account teams; direct client-facing experience is helpful but not the primary requirement.
  • Comfort using AI tools responsibly to improve analytical efficiency and insight generation.

Nice to have

  • Practical Python and/or R experience, particularly for custom analysis, forecasting, exploratory work, or lightweight modeling.
  • Direct client-facing experience.

Culture & Benefits

  • Fully remote work with flexible unlimited paid time off and 20 paid holidays.
  • Medical, dental, vision, life, disability, and flexible spending benefits.
  • Retirement contribution match of up to 4% at 100%.
  • Unlimited telemedicine and teletherapy, wellness benefits, equity, and parental leave with paid leave for birthing parents and partners.
  • On-demand learning, mentorship, and leadership and management development programs.

Будьте осторожны: если работодатель просит войти в их систему, используя iCloud/Google, прислать код/пароль, запустить код/ПО, не делайте этого - это мошенники. Обязательно жмите "Пожаловаться" или пишите в поддержку. Подробнее в гайде →